메뉴 건너뛰기




Volumn , Issue , 2019, Pages 285-320

Undertaking network meta-analyses

Author keywords

Cochrane review; Confidence intervals; Evidence base; Indirect intervention comparisons; Network meta analyses; Research question; Statistical methods; Transitivity

Indexed keywords


EID: 85065097480     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781119536604.ch11     Document Type: Chapter
Times cited : (244)

References (69)
  • 2
    • 68149158110 scopus 로고    scopus 로고
    • Pharmacologic treatments for chronic obstructive pulmonary disease: A mixed-treatment comparison meta-analysis
    • Baker WL, Baker EL, Coleman CI. Pharmacologic treatments for chronic obstructive pulmonary disease: a mixed-treatment comparison meta-analysis. Pharmacotherapy 2009; 29:891-905.
    • Pharmacotherapy , vol.29 , pp. 891-905
    • Baker, W.L.1    Baker, E.L.2    Coleman, C.I.3
  • 3
    • 0030793120 scopus 로고    scopus 로고
    • The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials
    • Bucher HC, Guyatt GH, Griffith LE, Walter SD. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. Journal of Clinical Epidemiology 1997; 50:683-691.
    • (1997) Journal of Clinical Epidemiology , vol.50 , pp. 683-691
    • Bucher, H.C.1    Guyatt, G.H.2    Griffith, L.E.3    Walter, S.D.4
  • 4
    • 26944454062 scopus 로고    scopus 로고
    • Simultaneous comparison of multiple treatments:Combining direct and indirect evidence
    • Caldwell DM, Ades AE, Higgins JPT. Simultaneous comparison of multiple treatments:combining direct and indirect evidence. BMJ 2005; 331:897-900.
    • (2005) BMJ , vol.331 , pp. 897-900
    • Caldwell, D.M.1    Ades, A.E.2    Higgins, J.P.T.3
  • 5
    • 77953688080 scopus 로고    scopus 로고
    • Mixed treatment comparison analysis provides internally coherent treatment effect estimates based on overviews of reviews and can reveal inconsistency
    • Caldwell DM, Welton NJ, Ades AE. Mixed treatment comparison analysis provides internally coherent treatment effect estimates based on overviews of reviews and can reveal inconsistency. Journal of Clinical Epidemiology 2010; 63:875-882.
    • (2010) Journal of Clinical Epidemiology , vol.63 , pp. 875-882
    • Caldwell, D.M.1    Welton, N.J.2    Ades, A.E.3
  • 6
    • 84941422123 scopus 로고    scopus 로고
    • Extending treatment networks in health technology assessment: How far should we go?
    • Caldwell DM, Dias S, Welton NJ. Extending treatment networks in health technology assessment: how far should we go? Value in Health 2015; 18:673-681.
    • (2015) Value in Health , vol.18 , pp. 673-681
    • Caldwell, D.M.1    Dias, S.2    Welton, N.J.3
  • 7
    • 84880287328 scopus 로고    scopus 로고
    • Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions
    • Chaimani A, Salanti G. Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Research Synthesis Methods 2012; 3:161-176.
    • (2012) Research Synthesis Methods , vol.3 , pp. 161-176
    • Chaimani, A.1    Salanti, G.2
  • 9
    • 85001037986 scopus 로고    scopus 로고
    • Visualizing assumptions and results in network meta-analysis:The network graphs package
    • Chaimani A, Salanti G. Visualizing assumptions and results in network meta-analysis:the network graphs package. Stata Journal 2015; 15:905-950.
    • (2015) Stata Journal , vol.15 , pp. 905-950
    • Chaimani, A.1    Salanti, G.2
  • 10
    • 85012918706 scopus 로고    scopus 로고
    • Additional considerations are required when preparing a protocol for a systematic review with multiple interventions
    • Chaimani A, Caldwell DM, Li T, Higgins JPT, Salanti G. Additional considerations are required when preparing a protocol for a systematic review with multiple interventions. Journal of Clinical Epidemiology 2017; 83:65-74.
    • (2017) Journal of Clinical Epidemiology , vol.83 , pp. 65-74
    • Chaimani, A.1    Caldwell, D.M.2    Li, T.3    Higgins, J.P.T.4    Salanti, G.5
  • 15
    • 78649754570 scopus 로고    scopus 로고
    • Indirect comparisons: A review of reporting and methodological quality
    • Donegan S, Williamson P, Gamble C, Tudur-Smith C. Indirect comparisons: a review of reporting and methodological quality. PloS One 2010; 5:e11054.
    • (2010) PloS One , vol.5 , pp. e11054
    • Donegan, S.1    Williamson, P.2    Gamble, C.3    Tudur-Smith, C.4
  • 17
    • 84866378820 scopus 로고    scopus 로고
    • Systematic review and mixed treatment comparison: Dressings to heal diabetic foot ulcers
    • Dumville JC, Soares MO, O’Meara S, Cullum N. Systematic review and mixed treatment comparison: dressings to heal diabetic foot ulcers. Diabetologia 2012; 55:1902-1910.
    • (2012) Diabetologia , vol.55 , pp. 1902-1910
    • Dumville, J.C.1    Soares, M.O.2    O’Meara, S.3    Cullum, N.4
  • 19
    • 84870924535 scopus 로고    scopus 로고
    • Network meta-analysis models to account for variability in treatment definitions: Application to dose effects
    • Giovane CD, Vacchi L, Mavridis D, Filippini G, Salanti G. Network meta-analysis models to account for variability in treatment definitions: application to dose effects. Statistics in Medicine 2013; 32:25-39.
    • (2013) Statistics in Medicine , vol.32 , pp. 25-39
    • Giovane, C.D.1    Vacchi, L.2    Mavridis, D.3    Filippini, G.4    Salanti, G.5
  • 21
    • 0030463880 scopus 로고    scopus 로고
    • Borrowing strength from external trials in a meta-analysis
    • Higgins JPT, Whitehead A. Borrowing strength from external trials in a meta-analysis. Statistics in Medicine 1996; 15:2733-2749.
    • (1996) Statistics in Medicine , vol.15 , pp. 2733-2749
    • Higgins, J.P.T.1    Whitehead, A.2
  • 25
    • 80051781370 scopus 로고    scopus 로고
    • Multivariate meta-analysis: Potential and promise
    • Jackson D, Riley R, White IR. Multivariate meta-analysis: potential and promise. Statistics in Medicine 2011; 30:2481-2498.
    • (2011) Statistics in Medicine , vol.30 , pp. 2481-2498
    • Jackson, D.1    Riley, R.2    White, I.R.3
  • 26
    • 84905565481 scopus 로고    scopus 로고
    • A design-by-treatment interaction model for network meta-analysis with random inconsistency effects
    • Jackson D, Barrett JK, Rice S, White IR, Higgins JPT. A design-by-treatment interaction model for network meta-analysis with random inconsistency effects. Statistics in Medicine 2014; 33:3639-3654.
    • Statistics in Medicine , vol.33 , pp. 3639-3654
    • Jackson, D.1    Barrett, J.K.2    Rice, S.3    White, I.R.4    Higgins, J.P.T.5
  • 27
    • 85044739336 scopus 로고    scopus 로고
    • Node-making process in network meta-analysis of nonpharmacological treatment are poorly reported
    • James A, Yavchitz A, Ravaud P, Boutron I. Node-making process in network meta-analysis of nonpharmacological treatment are poorly reported. Journal of Clinical Epidemiology 2018; 97:95-102.
    • Journal of Clinical Epidemiology , vol.97 , pp. 95-102
    • James, A.1    Yavchitz, A.2    Ravaud, P.3    Boutron, I.4
  • 28
    • 84879818084 scopus 로고    scopus 로고
    • Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers
    • Jansen JP, Naci H. Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers. BMC Medicine 2013; 11:159.
    • (2013) BMC Medicine , vol.11 , pp. 159
    • Jansen, J.P.1    Naci, H.2
  • 29
    • 84896381773 scopus 로고    scopus 로고
    • Indirect treatment comparison/network meta-analysis study questionnaire to assess relevance and credibility to inform health care decision making: An ISPOR-AMCP-NPC good practice task force report
    • Jansen JP, Trikalinos T, Cappelleri JC, Daw J, Andes S, Eldessouki R, Salanti G. Indirect treatment comparison/network meta-analysis study questionnaire to assess relevance and credibility to inform health care decision making: an ISPOR-AMCP-NPC good practice task force report. Value in Health 2014; 17:157-173.
    • (2014) Value in Health , vol.17 , pp. 157-173
    • Jansen, J.P.1    Trikalinos, T.2    Cappelleri, J.C.3    Daw, J.4    Andes, S.5    Eldessouki, R.6    Salanti, G.7
  • 30
    • 84897031050 scopus 로고    scopus 로고
    • Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons
    • König J, Krahn U, Binder H. Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons. Statistics in Medicine 2013; 32:5414-5429.
    • (2013) Statistics in Medicine , vol.32 , pp. 5414-5429
    • König, J.1    Krahn, U.2    Binder, H.3
  • 31
    • 84874724764 scopus 로고    scopus 로고
    • A graphical tool for locating inconsistency in network metaanalyses
    • Krahn U, Binder H, Konig J. A graphical tool for locating inconsistency in network metaanalyses. BMC Medical Research Methodology 2013; 13:35.
    • (2013) BMC Medical Research Methodology , vol.13 , pp. 35
    • Krahn, U.1    Binder, H.2    Konig, J.3
  • 32
    • 84878590351 scopus 로고    scopus 로고
    • Citation of previous meta-analyses on the same topic: A clue to perpetuation of incorrect methods?
    • Li T, Dickersin K. Citation of previous meta-analyses on the same topic: a clue to perpetuation of incorrect methods? Ophthalmology 2013; 120:1113-1119.
    • (2013) Ophthalmology , vol.120 , pp. 1113-1119
    • Li, T.1    Dickersin, K.2
  • 33
    • 5044221416 scopus 로고    scopus 로고
    • Combination of direct and indirect evidence in mixed treatment comparisons
    • Lu G, Ades AE. Combination of direct and indirect evidence in mixed treatment comparisons. Statistics in Medicine 2004; 23:3105-3124.
    • (2004) Statistics in Medicine , vol.23 , pp. 3105-3124
    • Lu, G.1    Ades, A.E.2
  • 34
  • 35
    • 74349083543 scopus 로고    scopus 로고
    • Modeling between-trial variance structure in mixed treatment comparisons
    • Lu G, Ades A. Modeling between-trial variance structure in mixed treatment comparisons. Biostatistics 2009; 10:792-805.
    • (2009) Biostatistics , vol.10 , pp. 792-805
    • Lu, G.1    Ades, A.2
  • 37
    • 80052708232 scopus 로고    scopus 로고
    • Consistency between direct and indirect trial evidence: Is direct evidence always more reliable?
    • Madan J, Stevenson MD, Cooper KL, Ades AE, Whyte S, Akehurst R. Consistency between direct and indirect trial evidence: is direct evidence always more reliable? Value in Health 2011; 14:953-960.
    • Value in Health , vol.14 , pp. 953-960
    • Madan, J.1    Stevenson, M.D.2    Cooper, K.L.3    Ades, A.E.4    Whyte, S.5    Akehurst, R.6
  • 43
    • 84920800841 scopus 로고    scopus 로고
    • Network meta-analysis: Development of a three-level hierarchical modeling approach incorporating dose-related constraints
    • Owen RK, Tincello DG, Keith RA. Network meta-analysis: development of a three-level hierarchical modeling approach incorporating dose-related constraints. Value in Health 2015; 18:116-126.
    • Value in Health , vol.18 , pp. 116-126
    • Owen, R.K.1    Tincello, D.G.2    Keith, R.A.3
  • 46
    • 79955544813 scopus 로고    scopus 로고
    • Interpretation of random effects meta-analyses
    • Riley RD, Higgins JPT, Deeks JJ. Interpretation of random effects meta-analyses. BMJ 2011; 342:d549.
    • (2011) BMJ , vol.342 , pp. d549
    • Riley, R.D.1    Higgins, J.P.T.2    Deeks, J.J.3
  • 47
    • 84877582368 scopus 로고    scopus 로고
    • Network meta-analysis, electrical networks and graph theory
    • Rücker G. Network meta-analysis, electrical networks and graph theory. Research Synthesis Methods 2012; 3:312-324.
    • (2012) Research Synthesis Methods , vol.3 , pp. 312-324
    • Rücker, G.1
  • 49
    • 84938378742 scopus 로고    scopus 로고
    • Ranking treatments in frequentist network meta-analysis works without resampling methods
    • Rücker G, Schwarzer G. Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Medical Research Methodology 2015; 15:58.
    • (2015) BMC Medical Research Methodology , vol.15 , pp. 58
    • Rücker, G.1    Schwarzer, G.2
  • 51
    • 67649303082 scopus 로고    scopus 로고
    • A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered
    • Salanti G, Marinho V, Higgins JPT. A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered. Journal of Clinical Epidemiology 2009; 62:857-864.
    • Journal of Clinical Epidemiology , vol.62 , pp. 857-864
    • Salanti, G.1    Marinho, V.2    Higgins, J.P.T.3
  • 52
    • 78650509651 scopus 로고    scopus 로고
    • Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: An overview and tutorial
    • Salanti G, Ades AE, Ioannidis JPA. Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. Journal of Clinical Epidemiology 2011; 64:163-171.
    • (2011) Journal of Clinical Epidemiology , vol.64 , pp. 163-171
    • Salanti, G.1    Ades, A.E.2    Ioannidis, J.P.A.3
  • 53
    • 85164560670 scopus 로고    scopus 로고
    • Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: Many names, many benefits, many concerns for the next generation evidence synthesis tool
    • Salanti G. Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Research Synthesis Methods 2012; 3:80-97.
    • (2012) Research Synthesis Methods , vol.3 , pp. 80-97
    • Salanti, G.1
  • 55
    • 84880045342 scopus 로고    scopus 로고
    • Incorporating data from various trial designs into a mixed treatment comparison model
    • Schmitz S, Adams R, Walsh C. Incorporating data from various trial designs into a mixed treatment comparison model. Statistics in Medicine 2013; 32:2935-2949.
    • (2013) Statistics in Medicine , vol.32 , pp. 2935-2949
    • Schmitz, S.1    Adams, R.2    Walsh, C.3
  • 58
    • 84880575724 scopus 로고    scopus 로고
    • Methods used to conduct and report Bayesian mixed treatment comparisons published in the medical literature: A systematic review
    • Sobieraj DM, Cappelleri JC, Baker WL, Phung OJ, White CM, Coleman CI. Methods used to conduct and report Bayesian mixed treatment comparisons published in the medical literature: a systematic review. BMJ Open 2013; 3:pii.
    • (2013) BMJ Open , vol.3
    • Sobieraj, D.M.1    Cappelleri, J.C.2    Baker, W.L.3    Phung, O.J.4    White, C.M.5    Coleman, C.I.6
  • 59
    • 0037374008 scopus 로고    scopus 로고
    • Validity of indirect comparison for estimating efficacy of competing interventions: Empirical evidence from published meta-analyses
    • Song F, Altman DG, Glenny AM, Deeks JJ. Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses. BMJ 2003; 326:472.
    • (2003) BMJ , vol.326 , pp. 472
    • Song, F.1    Altman, D.G.2    Glenny, A.M.3    Deeks, J.J.4
  • 61
    • 84866025505 scopus 로고    scopus 로고
    • Simulation evaluation of statistical properties of methods for indirect and mixed treatment comparisons
    • Song F, Clark A, Bachmann MO, Maas J. Simulation evaluation of statistical properties of methods for indirect and mixed treatment comparisons. BMC Medical Research Methodology 2012; 12:138.
    • (2012) BMC Medical Research Methodology , vol.12 , pp. 138
    • Song, F.1    Clark, A.2    Bachmann, M.O.3    Maas, J.4
  • 62
    • 84890156409 scopus 로고    scopus 로고
    • Presentational approaches used in the UK for reporting evidence synthesis using indirect and mixed treatment comparisons
    • Tan SH, Bujkiewicz S, Sutton A, Dequen P, Cooper N. Presentational approaches used in the UK for reporting evidence synthesis using indirect and mixed treatment comparisons. Journal of Health Services Research and Policy 2013; 18:224-232.
    • (2013) Journal of Health Services Research and Policy , vol.18 , pp. 224-232
    • Tan, S.H.1    Bujkiewicz, S.2    Sutton, A.3    Dequen, P.4    Cooper, N.5
  • 64
    • 45349087373 scopus 로고    scopus 로고
    • Network meta-analysis: Simultaneous meta-analysis of common antiplatelet regimens after transient ischaemic attack or stroke
    • Thijs V, Lemmens R, Fieuws S. Network meta-analysis: simultaneous meta-analysis of common antiplatelet regimens after transient ischaemic attack or stroke. European Heart Journal 2008; 29:1086-1092.
    • (2008) European Heart Journal , vol.29 , pp. 1086-1092
    • Thijs, V.1    Lemmens, R.2    Fieuws, S.3
  • 65
    • 84864508284 scopus 로고    scopus 로고
    • Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
    • Turner RM, Davey J, Clarke MJ, Thompson SG, Higgins JPT. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews. International Journal of Epidemiology 2012; 41:818-827.
    • (2012) International Journal of Epidemiology , vol.41 , pp. 818-827
    • Turner, R.M.1    Davey, J.2    Clarke, M.J.3    Thompson, S.G.4    Higgins, J.P.T.5
  • 67
    • 84907813077 scopus 로고    scopus 로고
    • Characteristics of a loop of evidence that affect detection and estimation of inconsistency: A simulation study
    • Veroniki AA, Mavridis D, Higgins JPT, Salanti G. Characteristics of a loop of evidence that affect detection and estimation of inconsistency: a simulation study. BMC Medical Research Methodology 2014; 14:106.
    • (2014) BMC Medical Research Methodology , vol.14 , pp. 106
    • Veroniki, A.A.1    Mavridis, D.2    Higgins, J.P.T.3    Salanti, G.4
  • 68
    • 84875612338 scopus 로고    scopus 로고
    • Consistency and inconsistency in network meta-analysis: Model estimation using multivariate meta-regression
    • White IR, Barrett JK, Jackson D, Higgins JPT. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Research Synthesis Methods 2012; 3:111-125.
    • (2012) Research Synthesis Methods , vol.3 , pp. 111-125
    • White, I.R.1    Barrett, J.K.2    Jackson, D.3    Higgins, J.P.T.4
  • 69
    • 85001084853 scopus 로고    scopus 로고
    • Network meta-analysis
    • White IR. Network meta-analysis. Stata Journal 2015; 15:951-985.
    • (2015) Stata Journal , vol.15 , pp. 951-985
    • White, I.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.